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Equal Protection Under Algorithms: A New Statistical And Legal Framework, Crystal S. Yang, Will Dobbie
Equal Protection Under Algorithms: A New Statistical And Legal Framework, Crystal S. Yang, Will Dobbie
Michigan Law Review
In this Article, we provide a new statistical and legal framework to understand the legality and fairness of predictive algorithms under the Equal Protection Clause. We begin by reviewing the main legal concerns regarding the use of protected characteristics such as race and the correlates of protected characteristics such as criminal history. The use of race and nonrace correlates in predictive algorithms generates direct and proxy effects of race, respectively, that can lead to racial disparities that many view as unwarranted and discriminatory. These effects have led to the mainstream legal consensus that the use of race and nonrace correlates …
Law Library Blog (October 2020): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Blog (October 2020): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Newsletters/Blog
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